Triple
T20832011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurora Airlines |
E512851
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
SAT Airlines
SAT Airlines was a regional Russian carrier based in the Far East that later became part of Aurora Airlines through a merger.
|
E1451932
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SAT Airlines | Statement: [Aurora Airlines, formedByMergerOf, SAT Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAT Airlines Context triple: [Aurora Airlines, formedByMergerOf, SAT Airlines]
-
A.
Spring Airlines
Spring Airlines is a Chinese low-cost carrier headquartered in Shanghai, known for operating budget-friendly domestic and regional flights, particularly within East Asia.
-
B.
SF Airlines
SF Airlines is a Chinese cargo airline operated by the courier company SF Express, specializing in domestic and regional air freight services.
-
C.
ATA Airlines
ATA Airlines is an Iranian airline that operates domestic and regional flights, using Mehrabad International Airport in Tehran as one of its main bases.
-
D.
SouthJet Airlines
SouthJet Airlines is the fictional commercial airline employer of pilot Whip Whitaker in the film "Flight."
-
E.
Sky Airline
Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SAT Airlines Triple: [Aurora Airlines, formedByMergerOf, SAT Airlines]
Generated description
SAT Airlines was a regional Russian carrier based in the Far East that later became part of Aurora Airlines through a merger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SAT Airlines Target entity description: SAT Airlines was a regional Russian carrier based in the Far East that later became part of Aurora Airlines through a merger.
-
A.
Spring Airlines
Spring Airlines is a Chinese low-cost carrier headquartered in Shanghai, known for operating budget-friendly domestic and regional flights, particularly within East Asia.
-
B.
SF Airlines
SF Airlines is a Chinese cargo airline operated by the courier company SF Express, specializing in domestic and regional air freight services.
-
C.
ATA Airlines
ATA Airlines is an Iranian airline that operates domestic and regional flights, using Mehrabad International Airport in Tehran as one of its main bases.
-
D.
SouthJet Airlines
SouthJet Airlines is the fictional commercial airline employer of pilot Whip Whitaker in the film "Flight."
-
E.
Sky Airline
Sky Airline is a Chilean low-cost carrier that operates domestic and regional flights across South America.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3224e788190bfc4d3dcbaa674a7 |
completed | April 21, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0900826cf88190a04f2d25a4bb20b8 |
completed | May 16, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_6a090129cbc88190b72be66b1453d4ac |
completed | May 16, 2026, 11:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0901950c1c8190befa72dc20236b9e |
completed | May 16, 2026, 11:45 p.m. |
Created at: April 16, 2026, 12:42 p.m.